Product Management: next level

Develop a product-driven approach in your company and enhance team efficiency

This course will help your team master key product management tools: from market analysis and hypothesis testing to metrics management and innovation implementation. Participants will learn how to build product strategies, interact effectively with developers, manage risks, and use AI tools to optimize processes.

Who is this course for?

This course is designed for:

  • Executives and top managers implementing a product-driven approach in their company and seeking to enhance business processes.
  • Product managers who want to systematize their knowledge, master modern tools, and improve their results.
  • Project managers, business analysts, marketers, and sales specialists working with product teams.
  • IT specialists interested in transitioning into product management roles.
  • Development teams looking to better understand product processes and work more efficiently.

Learning Format

  • Course duration: 24 hours.
  • Format: online/offline/hybrid
  • Practical cases, workshops, interactive sessions.
  • Support for participants throughout the training.

After completing this course, your team will be able to:

  • Structure and efficiently manage company products
  • Implement a product-driven approach and optimize processes
  • Utilize modern AI tools for analysis and management
  • Improve cross-department collaboration for successful product launches and growth

The program may be adjusted according to the company's and employees' needs.

Request a customized course program for your company!

Program of the course "Product Management: next level"

1
  • The role and functions of a product manager in a company
  • Product lifecycle and key development stages
  • Introduction to product strategy: from idea to implementation
  • PoC (Proof of Concept) and hypothesis validation
  • MVP (Minimum Viable Product) and version management
  • Key product metrics and unit economics
  • Market evaluation and competitive analysis

2
  • Developing product vision and strategy
  • Types of requirements and their documentation
  • Managing product risks
  • Prioritizing tasks and product roadmap
  • Release management and product acceptance
  • Collaboration with development, marketing, and sales teams

3
  • How to use AI for data analysis and trend forecasting
  • Automating routine tasks for product managers
  • AI in UX/UI design and product personalization
  • ChatGPT, Midjourney, DALL-E, and other PM tools
  • Case studies and best practices for AI implementation in product management

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